Wherobots

What is Wherobots? It's a question we get asked sometimes, so we wanted to make it super easy to understand. That's why we created this handy explainer video. Check it out here ??

?Spatial Joins? are essential for geospatial data analysis, but they can be computationally expensive when scaling or when execution times are long, potentially causing workflow bottlenecks. If you missed our session last week on how to seamlessly integrate Python and Wherobots to perform advanced spatial joins and analyses on geospatial data, don’t worry—we’ve got you covered. ?? Highlights: - How easy it is to get started with Wherobots - Loading data using datasets from Overture Maps and the Foursquare Open Places Dataset - Standard Spatial Join and K-Nearest Neighbor Join - Advanced optimization techniques - Visualizing Spatial Join results with SedonaKepler and SedonaPyDeck ?? Access the recording via the link in the comments.

The Wherobots team is very much looking forward to the Cloud-Native Geospatial Forum (CNG) event in Snowbird! If you're going, see you there!

?? If you haven't had a chance to check it out yet, highly recommend reviewing this notebook available for exploring the Foursquare places open dataset in Wherobots. It's available in our onboarding notebook folder structure. ?? ?? We are working some new things on this as well, so stay tuned another update coming!

??? Innovation Session - From Maps to Models: Bringing Geospatial Data into LLMs the Right Way We’re thrilled to announce Matt Forrest Director of Customer Engineering & Product Led Growth at Wherobots, as speakers! Session Details:? Large Language Models (LLMs) are reshaping AI-driven insights, but effectively handling geospatial data remains complex. This talk will cover how LLMs process geospatial information, the role of vector databases, and how cloud-native formats keep data current. It'll also explore medallion-based architectures and Apache Iceberg for scalable, real-time updates, showing how to build a geospatial data pipeline that enhances LLMs' ability to understand location-based data.? Don’t miss this opportunity! ?? Register: https://lnkd.in/eYKueuJ6 ?? Date: April 27-29, 2025? -----------------------------------------? ?? Session innovation- Des cartes aux modèles : intégrer les données géospatiales dans les LLMs de la bonne manière? Nous sommes ravis d'annoncer Matt Forrest Directeur de l'ingénierie client et de la croissance axée sur le produit à Wherobots, en tant que conférenciers ! Détails de la présentation :? Les grands modèles de langage (LLMs) transforment les analyses basées sur l'IA, mais la gestion efficace des données géospatiales reste un défi complexe. Cette présentation abordera la manière dont les LLMs traitent l'information géospatiale, le r?le des bases de données vectorielles et l'importance des formats natifs du cloud pour assurer l'actualisation des données. Elle explorera également les architectures basées sur le modèle Medallion ainsi qu’Apache Iceberg pour des mises à jour évolutives en temps réel. Enfin, nous verrons comment construire un pipeline de données géospatiales permettant aux LLMs de mieux comprendre et exploiter les données basées sur la localisation.?? Ne manquez pas cette opportunité! ?? Inscrivez-vous : https://lnkd.in/e9rmzwtX? ?

THIS WEEK: The cloud isn’t just about storing geospatial data—it’s about making it more accessible, scalable, and easier to work with. Join us for an insightful conversation on what makes geospatial cloud-native and how it's revolutionizing the way we interact with spatial data. ?? What we'll cover: The power of cloud-native geospatial technology Enabling scalability across different compute infrastructures Eliminating the need to move massive datasets How seamless connectivity is unlocking new possibilities ?? Featuring: Amy Rose from Overture Maps Foundation Eshwaran Venkat ? Venkat from Dotlas Matt Forrest from Wherobots Whether you're a GIS professional, data engineer, or just curious about the future of geospatial tech, you won't want to miss this! Save the date for Wednesday, March 26th: https://bit.ly/3XRdCBn

Every second, millions of GPS traces are collected from vehicles, mobile apps, and navigation devices. But there’s a big problem—raw GPS data is messy. Noisy signals, lost connections, and inaccuracies can make it hard to extract meaningful insights. Imagine checking your GPS only to find that your route has you driving over water instead of on the road. That’s where map matching comes in. Instead of relying on error-prone GPS points, Wherobots’ advanced map matching technology corrects trajectories by aligning them with real-world road networks—at scale. Unlike traditional solutions that struggle with large datasets, Wherobots processes millions of trips in minutes, delivering unmatched accuracy and performance. ?? Why GPS data is often inaccurate ?? How map matching fixes GPS errors ?? How Wherobots processed 90M trips in just 1.5 hours ?? Real-world applications: logistics, insurance, urban planning & more ?? If your business relies on mobility data, don’t let messy GPS slow you down. Transform your data with high-performance map matching—faster, cheaper, and at planetary scale. ?? Link in the comments on how to get started.

?? Two quick things about spatial joins... Sharing some results from the notebook I will be sharing at the upcoming Wherobots training this Wednesday. Excited to share with you how you can level up and leverage tools like Apache Iceberg, Apache Sedona, and GeoParquet to speed up your spatial processing. I also just published a long form post on my blog about spatial joins: how their work, tools you can use, and some of the different ways to make them faster. If you want to join the training or get the link to the post let me know in the comments below! #gis #moderngis #geospatial

A huge thanks David Buchanan from Comcast for joining us recently and sharing your experience with Apache Sedona, and how it has improved the ability of the Xfinity network team to optimize their network operations. If you missed the webinar or would like a recap of the session, you can access the recording via the link in the comments.

Welcome back to the latest edition of the Spatial Intelligence Newsletter! From map matching to spatial joins and cloud-native geospatial, our team has been busy brewing up some exciting developments here at Wherobots! Give it a read. ??